This dataset represents a product that is manganese carbonate ore, with the chemical formula MnCO₃, a sedimentary or hydrothermal manganese mineral, occurring in massive, granular or earthy forms, with a theoretical manganese grade of approximately 47.8% and an industrially mineable ore manganese grade generally above 18%–30%, accompanied by impurities such as iron, calcium, magnesium and silicon, with a hardness of 3–4, a density of approximately 3.1–3.7 g/cm³, insoluble in water, soluble in acid with release of carbon dioxide. It is the main raw material for refining metallic manganese and manganese alloys, and can also be directly used as a metallurgical auxiliary material, chemical catalyst and battery-material precursor. The upstream is the geological body of the manganese carbonate ore deposit and mining preparation work, and the downstream is the demand for manganese raw materials from industries such as metallurgy, chemicals and new energy. Within the system boundary, sub-processes include open-pit or underground mining of manganese carbonate ore, drilling and blasting, excavation and transport, coarse and intermediate crushing, screening, beneficiation and impurity removal, concentrate concentration and dewatering, drying, and finished-product stockpiling and external sale, as well as environmental and resource supporting links such as waste-rock disposal and reclamation, tailings-pond management, mine-water purification, and dust collection and suppression; however, it does not include the subsequent smelting and processing of manganese ore (such as roasting and reduction to produce metallic manganese), the deep processing of metallic manganese into alloys or chemical products, nor the long-distance railway and port transport outside the mine site, or production-equipment manufacturing and plant and infrastructure construction. The data sources integrate industry-average indicators, on-site measured data from mining enterprises, and professional literature on mining engineering and mineral processing; for multi-process co-production and the output of waste rock and tailings, data are split using the mass-allocation method combined with ore-grade variation and recovery rates. The dataset includes the main raw and auxiliary materials, energy and wastes in the production process; infrastructure such as the manufacture of production equipment and plant construction is not included within the boundary of the dataset; the data inventory is formed by merging data from multiple sources.